There are 2 repositories under end-to-end-learning topic.
A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
DCFNet: Discriminant Correlation Filters Network for Visual Tracking
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Evolutionary Graph Pattern Learner that learns SPARQL queries for a given set of source-target-pairs from an endpoint.
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
Code for Paper Abstract Writing through Editing Mechanism
Official Implementation of Deep Aerial Image Matching using PyTorch
Code for Describing a Knowledge Base
End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)
ROS2 End-to-End Lane Following Model with SVL Simulator
This repository contains the code for our upcoming paper An Investigation of End-to-End Models for Robust Speech Recognition at ICASSP 2021.
Safe robot learning
Autonomous driving simulation in the Unity engine.
The Space Resorts sample capsule demonstrates a fully-developed capsule that uses several of the features and abilities discussed in the Bixby Developer Guides, while also using the best practices described in the Bixby Design Guides.
An end-to-end masked contrastive video-and-language pre-training framework
End to End Steering Angle Prediction for Self-Driving Cars
Analysis and investigating the confounding effect of accents in end-to-end Automatic Speech Recognition models.
End to End Multiview Lip Reading
Keras Implementation of "End-to-End Sequence Labeling via Bi-directional LSTM-CNNs-CRF" by Ma Hovy et al 2016, on multimodal dataset from "Adaptive Co-attention Network for Named Entity Recognition in Tweets" paper AAAI 2018.
A CNN built with Keras and trained to predict steering angles from camera input
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Gebze Technical University Graduation Project II
Self-Driving Car Behavioral Cloning based End-to-End learning, Computer Vision & Deep Neural Network
An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO algorithm for dynamic control. The model processes RGB camera inputs to make real-time acceleration and steering decisions.
This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.
Structuring Machine Learning Projects repository for all projects of Course 3 of 5 of the Deep Learning Specialization covering topics such as being a technical leader in AI, how to diagnose and reduce errors in a ML system, mismatched training/test sets, human-level performance, transfer learning, multi-task learning and end-to-end learning.
A self-driving car in a simulated environment. Explore various state-of-the-art methods of autonomous self-driving car in a fun visual format.
Udacity Self-driving car nano degree project 4